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J Occup Environ Med. Author manuscript; available in PMC 2017 April 01. Published in final edited form as: J Occup Environ Med. 2016 April ; 58(4): e133–e139. doi:10.1097/JOM.0000000000000686.

High cigarette and poly-tobacco use among workers in a dusty industry: New Jersey quarry workers Judith M. Graber, PhD, Rutgers, The State University of New Jersey, Environmental and Occupational Health Sciences Institute, 170 Frelinghuysen Road, 234D, Piscataway, NJ 08854

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Karen Worthington, RN, MS, Consumer Environment and Occupational Health Service New Jersey Department of Health and Senior Services; Communicable Disease Service New Jersey Department of Health, Trenton NJ Kirsten S. Almberg, MS, Division of Epidemiology and Biostatistics, School of Public Health, University of Illinois at Chicago, IL Qingyu Meng, PhD, Department of Environmental & Occupational Health, School of Public Health, Rutgers, The State University of New Jersey, Piscataway, NJ 08854 Cecile S. Rose, MD, MPH, and Department of Medicine, National Jewish Health and University of Colorado, Denver, CO

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Robert A. Cohen, MD Division of Environmental and Occupational Health Sciences, School of Public Health, University of Illinois at Chicago, IL

Abstract Objective—Tobacco use is high among US extraction and construction workers, who can also incur occupational dust exposure. Information on different types of tobacco use among quarry/ mine workers is sparse. Methods—During mandated training sessions, New Jersey quarry workers were surveyed about their tobacco use. Prevalence was calculated for single and multiple tobacco use by demographic and workplace characteristics; logistic regression was used to assess associations with smoking.

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Results—240 (97.1%) workers completed surveys. Among respondents, 41.7% (95% CI 35.4, 48.3) currently used any tobacco product of whom 28.1% smoked cigarettes. In multivariate

Corresponding author: [email protected], phone –office: 848-445-0190; cell-207-441-3862, fax: 732-445-0784. Conflict of Interest Statement: The authors declare no conflicts of interest Protection of human subjects: This study protocol was reviewed and approved by Rutgers Biomedical and Health Sciences Intuitional Review Board Disclosure of Grant Funding: The research was supported in part by a Mini-Pilot Award from Rutgers NIH National Institutes for Environmental Health Sciences (NIEHS) Center for Environmental Exposures and Disease (ES005022) and a grant from the Alpha Foundation for the Improvement of Mine Safety and Health, Inc. (AFC113-4).

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analysis, positive associations with smoking included working as a contractor vs. mine employee (OR 2.32, 95% CI 1.01, 5.36) and a usual job title of maintenance (OR 2.02, 95% 0.87, 4.94). Conclusions—Industry-specific information may be helpful in developing targeted tobaccocessation programs.

Introduction

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Tobacco use is a leading cause of preventable morbidity and mortality in the United States. [1] While the overall prevalence of cigarette smoking has declined in the U.S., it remains higher among blue-collar workers.[2] Even among blue collar workers smoking rates vary, with the highest prevalence reported among workers in the extraction and construction.[3] A study of workers based on nationally representative survey data reported that the prevalence of cigarette smoking was significantly higher among extraction and construction workers (33,.1% and 34.9%, respectively), compared with other workers (23.8%).[4] Extraction and construction workers are also at increased risk of mortality and morbidity from exposure to respirable mineral dust.[5 6] Co-exposures to dust and cigarette smoke can have additive or synergistic potential for causing adverse respiratory health effects, including COPD and lung cancer.[7–10] Occupational dust exposure and tobacco use are the primary modifiable risk factors for respiratory disease among these workers.

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Not only do blue collar workers have a higher prevalence of smoking than other workers, on average they smoke more cigarettes per day, have less access to workplace smoking prevention programs, have poorer quit success,[11 12] and are less likely to be employed in a workplace with policies that ban or restrict smoking.[13] Workplace smoking bans are a primary means of reducing exposure to tobacco smoke for smokers and nonsmokers. These policies have been successful in reducing the prevalence and intensity of smoking, increasing cessation attempts, reducing relapse among smokers attempting to quit, and eliminating or reducing exposure to environmental tobacco smoke in the workplace in a number of industries.[12 14 15] Like cigarette smoking, smokeless tobacco (SLT) use is also more prevalent among extraction and construction workers compared with other workers,[16] as is concurrent use of both smoking and smokeless tobacco.[17] With increased adoption of smoke-free workplaces, concurrent use of SLT and cigarettes is of particular concern, as SLT can be substituted for cigarettes when smoking is prohibited at work.[18]

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People who smoke cigarettes and also use other tobacco products (poly-tobacco use) may have more nicotine exposure and be less likely to stop using tobacco than single tobaccodelivery system users.[19] Poly-tobacco use increases exposure to harmful tobacco constituents and resulting adverse health effects. This is especially important as the epidemiology of tobacco use is rapidly changing. While smoking prevalence is declining, that of electronic cigarettes (e-cigarettes), cigars and cigarillos has been increasing in the general population.[20 21] Yet little is known about use of these tobacco products, either alone or concurrently with cigarettes, among extraction and construction workers.

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Population-based national surveys provide important information regarding tobacco use in dusty industries,[22] but are limited in their ability to estimate events among relatively small populations, including specific sectors within industries. The category “extraction workers” comprises diverse groupings of industry subsectors such as surface and underground mining and petroleum extraction. Reports from national surveys of high tobacco use among workers in the extraction industry may not be relevant for specific industry subsectors. This information is essential for the development, implementation and evaluation of tobacco cessation programs. We report results from a brief survey on tobacco use and job information among New Jersey (NJ) surface miners and quarry workers (henceforth quarry/ mine workers). The survey was designed and conducted as a collaborative effort between the NJ Department of Labor and Workforce Development (NJ-DOLWD), the NJ Department of Health and Rutgers University.

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Methods Study population Participants in this cross-sectional survey were identified when they attended compulsory annual miner safety training.[23] In NJ, this training is offered to all quarry/mine operators, on behalf of their workers, by the NJ-DOLWD. Prior to training sessions a letter was sent to participating mine operators by Rutgers University investigators asking for permission to distribute the survey at the training. Verbal consent was then sought from the operators via telephone by study personnel. After the operator’s consent was obtained, the survey and participant informed consent were distributed to workers at the beginning of that operators’ next training session. Workers age 18 or older who could complete a written English- or Spanish-language survey were eligible.

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Measures The instrument was a one page (two-sided) survey designed to collected information on respondents’ demographics, employment, and tobacco use.

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Demographics—The survey questions were designed to capture socio-demographic characteristics of respondents for comparison with those publically available from the National Institute for Occupational Safety and Health, 2012 National Survey of the Mining Population – Part I Employees (NSMP-I). Age was obtained in years and categorized into three groups determined from the distribution of age among current smokers (=50 years). Educational level was elicited as a five-level check boxes (less than high school (HS) diploma; HS graduate or GED; some college, associate degree, or technical school; Bachelor’s degree or greater). Employment—Questions about respondents’ work included using open text fields to ascertain the current job title which was then manually reviewed and grouped into four major categories as defined in the NSMP-I: administration/professional; maintenance; production; and, service/utility.[24] Check boxes were used to collect information on whether the respondent was employed full or part-time, whether they worked as a contractor, and the type of quarry/mining commodity extracted i.e. sand & gravel; stone; metal; other).

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Tobacco use—Tobacco use questions were based on those in the 2012 National Survey on Drug Use and Health.[25] For cigarette smoking, we defined never smokers by a ‘no’ response to “Have you smoked at least 100 cigarettes in your entire life?” We differentiated former smokers from current smokers by defining the latter as respondents who answered ‘yes’ to: “During the past 30 days, have you smoked part or all of a cigarette?” For other tobacco products (e-cigarettes, cigars, pipes and/or smokeless tobacco) the screening question was “Have ever used [the tobacco product] in your entire life?” and then differentiated former and current users by any use in the past 30 days. We further defined any tobacco use as any use of cigarettes, cigars, pipes and/or smokeless tobacco. We defined three types of current dual use: concurrent use of cigarettes with SLT, e-cigarettes or cigars.

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Additionally, the trainer who administered the questionnaires recorded information about each training session including the number of miners attending each session (to facilitate calculation of response rates) and the county-based region of NJ where the training was held, i.e. north, central, and south (Figure 1). Statistical Analysis

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Response rates and sample characteristics—Response rates were calculated for mine operators and for respondents. Prevalence and 95% confidence intervals were calculated for survey respondents by demographic including age, gender race/ethnicity, educational level, and workplace characteristics including job title, tenure, and employment full or part time. To assess the degree to which the characteristics of survey respondents were similar to those of quarry/mine workers nationally, respondents were compared with those from the NSMP-I working in the same type of quarry or mine. Summary NSMP-I data are available online, and include demographic (age, gender, ethnicity, race, and educational level) and work characteristics (job title, years working in a quarry/mine).[24] The location of active NJ quarries and mines was mapped for 2014 using data from the US Department of Labor Mine Health and Safety Administration (MSHA) public access address/employment and mines data files available at http://www.msha.gov/ OpenGovernmentData/OGIMSHA.asp#. Active mines were defined as those reporting any employee hours.

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Tobacco use—Prevalence and 95% confidence intervals (95% CIs) were calculated for current and ever tobacco use, including: smoking, SLT, e-cigarettes, and any tobacco use. Prevalence and 95% CIs were calculated for current use only for dual- and poly-tobacco use. Prevalence rates were stratified by demographic and work characteristics for all tobacco-use behaviors except e-cigarettes, because the number of e-cigarette users was to too small to provide meaningful stratified prevalence estimates. Categorical variables for age and job tenure were created using approximate tertiles among current smokers. Current smoking rates for all employed non-Hispanic white men in NJ were obtained from the NJ Behavioral Risk Factor Surveillance System (BRFSS) via the NJ Department of Health’s State Health Assessment Data System online data portal (https://www26.state.nj.us/doh-shad/query/ selection/njbrfs/BRFSSSelection.html) and compared with smoking rates for a similarly defined group of respondents to the NJ miners survey by age group.

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Logistic regression was used to assess associations between respondents’ demographic and employment characteristics with current smoking, which was the tobacco-use behavior with the highest prevalence. Age, educational level, and NJ region were included in the model a priori. Other variables were retained in the model if their inclusion improved the middle fit, as indicated by the likelihood ratio test. Analyses were conducted using SAS© software (version 9.3, SAS Institute, Cary, NC).

Results Response rates and sample characteristics

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Participation rates were high, 6 out of 8 owner/operators agreed to participate, resulting in surveys being conducted at 19 training sessions in 14 facilities. One of the operators declined to participate because training for the year had already been completed; the other gave no reason. An average of 13 workers attended each session (range 3 to 28). Of the 247 workers attending, 240 (97.1%) completed surveys. Almost all respondents were male (97.9%), and most classified their race and ethnicity as non-Hispanic white (83.3%; Table 1). Respondents’ average age was 44.2 years old (s. d. 13.3) and average years working in a quarry/mine was 11.2 (s.d. 11.6).

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NJ survey respondents who currently worked in either a stone or sand & gravel quarry were similar to the NSMP-I respondents in terms of mean age and job tenure, as well as the distribution by gender and ethnicity (Table 2). However, they differed in terms of race and ethnicity; a higher proportion of NJ stone and sand & gravel workers were Hispanic and identified as a race other than white. As well, a higher proportion of NJ survey respondents had attended college compared with miners in those same commodities who participated in the NSMP-I. Tobacco use Three-quarters of respondents (75.8%; 95% CI 69.8, 81.1) reported ever using any tobacco product, and 41.7% (95% CI 35.4, 48.3) reported current tobacco use, including: 28.1% (95% CI 22.9, 34.4) who smoked cigarettes and 6.6% (95% CI 3.9, 10.3) who use ecigarettes (Figure 2). Concurrent use of cigarettes and one or more other tobacco products was reported by 12.6% (95% CI: 8.7, 17.4); in addition to smoking cigarettes, 5.1% (95% CI: 2.8, 8.5) used chewing tobacco, 6.8% (95% CI: 4.1, 10.6) smoked cigars, and 4.9% (95% CI: 2.6, 8.3) used e-cigarettes.

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Non-Hispanic survey respondents ages 18 to 64 had significantly higher current smoking rates compared to the same demographic of employed men from the NJ BRFSS, a population-based survey, (30.0%, 95% CI: 22.8, 34.5 vs. 21.6%, 95% CI: 18.8, 24.1, respectively; Figure 3). The prevalence of cigarette smoking and smokeless tobacco was inversely related to age (Tables 3 and 4). In contrast, the prevalence of cigar smoking, while was higher among young workers was similar among all workers age 30 and older (Table 3). The prevalence of current cigarette smoking was significantly higher among workers who were non-Hispanic White compared with other race/ethnicity groups (p= 0.0336) while the prevalence of

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current cigar smoking, 11%, was the same (p=0.98). The smoking prevalence was highest among sand & gravel workers and among workers in southern NJ. Sand & gravel quarries are located throughout NJ (Figure 3); in multivariate analysis, region within the state remained a significant predictor of smoking but type of commodity mined did not (Table 4). Occupational factors positively associated with smoking included being employed by a contractor rather than the mine operator and having a usual job title in maintenance (Table 4).

Discussion

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We observed high rates of smoking (28.1%) and current use of any tobacco product (41.7%) in New Jersey quarry/mine workers, a subsector of the extraction industry. The prevalence of current cigarette smoking was consistent with that reported nationally among extraction and construction workers (29.5, 95% CI: 26.1, 32.8; 27.0 95% CI: 15.9, 38.2)[16] and significantly higher than that among working men with similar age and race/ethnicity in NJ. The prevalence of smokeless tobacco use observed in our study (12.3%, 95% CI: 8.5, 16.9) was also similar to that observed nationally among both extraction and construction workers (18.8%, 95% CI: 17.9, 29.7%, and 7.9, 95% CI: 6.0, 9.9, respectively).[16] Tobacco use contributes to respiratory disease in dust-exposed workers, [26 27] [7] workplace injury[28 29], absenteeism,[30] and may be associated with workplace stress [11]. Among construction workers, smoking has been associated with increased risk of occupational disability including that due to respiratory and cardiovascular disease.[31]

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In 2012, there were over 100,000 miners working in either sand & gravel or stone mines in the US. In NJ there is a small but stable surface aggregate mining industry with an average of 85 operating mines a year, employing approximately 1,500 people. Almost all work in surface miners that extract stone or sand & gravel. These miners are often exposed to the respirable silica with the potential for the development of increased rates of malignant and non-malignant respiratory diseases including obstructive lung disease lung function impairment, silicosis and lung cancer.[6 32 33] In this survey of NJ quarry/mine workers, we not only found a high prevalence of cigarette smoking but also of other tobacco product use including e-cigarettes. E-cigarette use is rapidly increasing among US adults.[20] We observed higher rates of current (6.6%, 95% CI: 3.9, 10.3) and ever e-cigarette (21.4%, 95% CI: 16.3%, 27.3%) use than was observed among men from a study based on national survey data (4.2%, and 14.2%).[34] The authors of that study observed the highest prevalence of daily e-cigarette use among former smokers. In our survey the majority (11 of 15) of respondents who reported current e-cigarette use were current smokers, suggesting different usage pattern of e-cigarettes among these workers compared with the general population. A key tool in workplace tobacco control is the implementation of workplace smoking bans or restrictions. MSHA bans smoking in underground coal mines because of the risk of explosion, but has no such ban for surface mines like those in this study.[35] While 24 states have banned smoking in the workplace, a majority of these have not included e-cigarettes in their laws.[36] The New Jersey indoor and workplace smoking ban includes e-cigarettes, but coverage is limited to indoor workplaces only (P.L. 2009, c.182). Recommendations for including e-cigarettes in tobacco-free workplace policies have been proposed.[36 37] Understanding tobacco use patterns, including e-cigarette use, within industries is essential J Occup Environ Med. Author manuscript; available in PMC 2017 April 01.

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for planning and evaluating workplace tobacco policies. Similarly, while much work has been done regarding targeting smoking cessation interventions for blue collar workers in general and in some specific sectors including construction workers, [38–40] the evidence base for the efficacy of smoking prevention policies for other tobacco products, and polytobacco use, is lacking.[41] The prevalence of poly-tobacco use was high in this population (12.6%). Compared with single-tobacco product use, poly-tobacco use may increase nicotine exposure, dependence, and risk of tobacco-attributable disease and death.[42] Studies have reported higher rates of smokers who are poly-users among men, non-Hispanic whites, unemployed, and/or bluecollar workers.[19 43] The socio-demographic characteristics of quarry/mine workers overlap with some of these features but other characteristics unique to these industries may also be contributing to the high rate observed.

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Limitations

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There are several potential limitations to this study. The cross-sectional design means that inferences cannot be made regarding the temporality of observed associations. The convenience sampling and implementation in one state may limit the generalizability of the findings to workers in other states. We compared the demographics and work characteristics of our sample to those respondents from the NSMP who mined the same commodities. Overall they were similar, however our sample was more racially and ethnically diverse than those in the national study. In general in the US, cigarette smoking and SLT use are more prevalent among non-Hispanic white men and lower in the northeastern states where our survey was conducted. Consequently, our estimates of tobacco use among quarry/mine workers may underestimate those in other areas where smoking and SLT use are more prevalent, such as the southeast.[16] Another possible limitation is that this survey was conducted using a convenience sample of miners attending mandatory annual training provided by the NJ-DOLWD. The NJ-DOLWD estimates between 50 and 60 percent of all NJ mine operators complete their miner training requirements using their program. Participating mine operators and their employees may differ from those who chose not to participate in terms of tobacco-use behaviors.

Conclusions

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This study provides a snapshot of tobacco use among quarry workers, one sub-sector of US extraction workers. Cigarette smoking and other tobacco use was high among these workers who may also be exposed to toxic mineral dust. Additionally, many of the workers in our study used a variety of tobacco products in combination with cigarettes which may increase health risks. The complexity of tobacco-use behaviors, including non-cigarette tobacco products, in these workers needs to be addressed when planning and evaluating workplacetobacco policies and interventions.

Acknowledgments The authors dedicate this manuscript to the work and memory of Kenneth Heintz of the New Jersey Department of Labor and Workforce Development whose tireless dedication to the health and safety of the miners of New Jersey

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assured the successful implementation and completion of this survey. We also thank his supervisor, Justin Baker, for his support of the project. At Rutgers University we thank Esther Kaufmann whose internship for her BS degree in public health from Rutgers University Edward J. Bloustein School of Planning and Public Policy included data entry and preliminary data analysis; Alan Perez for assistance contacting mine operators, and Betty Muller for her careful review and editing of the text. At the Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, Office of Mine Safety and Health Research in Pittsburgh, PA, we thank Linda J. McWilliams for her review of the survey instrument and overall support of the project.

References

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Figure 1.

Active mines1 in New Jersey; MSHA Address/Employment and Mines data 20142 1. Active mines were determined by any mine reporting >0 total employee hours for that calendar year (N=84) 2. Data available at http://www.msha.gov/OpenGovernmentData/OGIMSHA.asp; accessed September 9th, 2015

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Figure 2.

Prevalence of selected tobacco use among quarry workers and other miners;1 New Jersey 2015 (n=240) 1. Error bars display 95% confidence intervals

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Figure 3.

Prevalence of current smoking among employed non-Hispanic white men, age 18 to 64, enrolled in the NJ miners survey the New Jersey Behavioral Risk Actor Surveillance System (BRFSS; 2012)1 by age group2 1. BRFSS = Behavioral Risk factor Surveillance System 2. Error bars display 95% confidence intervals

Author Manuscript Author Manuscript J Occup Environ Med. Author manuscript; available in PMC 2017 April 01.

Graber et al.

Page 14

Table 1

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Demographic and work characteristics of respondents to the New Jersey Miners’ Survey Characteristics

n (240)

%

233

97.9

5

2.1

50

21.1

30 to 49

87

36.7

>=50

100

42.1

NH White

200

83.3

Other

40

16.7

< HS Grad/GED

33

13.8

HS Grad/GED

94

40.0

Any college

111

46.6

Northern

33

13.8

Central

112

46.7

Southern

95

39.6

Sand & Gravel

57

24.8

Stone

113

49.1

Other

60

26.1

Full time

145

63.3

Part time

84

36.7

Mine/quarry operator

114

47.7

Contractor

98

41.0

Other

27

11.3

Maintenance

113

51.1

Production

59

26.7

Administration

19

7.9

≤1 year

66

28.5

2 to 10 years

72

31.0

≥11 years

94

40.5

Demographics Gender Male Female Age group (years) 4-year college degree” for sand and gravel workers in the NJ survey compared with NSMP-I =

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